scholarly journals Psychological Analysis of Jokowi’s First 100 Days and Nawacita from Text in Twitter

2018 ◽  
Vol 21 (3) ◽  
pp. 173
Author(s):  
Indro Adinugroho ◽  
Smitha Sjahputri ◽  
Judotens Budiarto ◽  
Roby Muhamad
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Human Behavior ◽  
Strategic Plan ◽  
Political Issues ◽  
Public Response ◽  
The Public ◽  
Psychological Analysis ◽  
Valence And Arousal ◽  
Negative Sentiment

In recent days, the public often uses social media such as Twitter for delivering critics; appreciation and campaign related to Government and political issues. The existence of Twitter is changing human behavior rapidly. This study aims to identify Twitter as a medium to generate public opinion concerning two political issues, the 7th Indonesian President first 100 days and public response towards his strategic plan, Nawacita. Method applied in this study is a combination of contemporary research instruments that combines technology and psychology. In this study, the authors examined conversation on Twitter by using Tracker and Algoritma Kata (AK, words algorithm). Tracker is used to collecting conversation on twitter regarding Jokowi’s first 100 days and Nawacita, whereas AK is applied to identify valence and arousal in each tweet collected by Tracker. The finding shows the domination of positive tweets in every week. However, there is a moment where the number of positive tweets was close to negative tweets. In Nawacita issue, law reformation and enforcement was the issue that has highest negative sentiment among others.

scholarly journals COVID-19 Vaccine and Social Media in the U.S.: Exploring Emotions and Discussions on Twitter

Vaccines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1059
Author(s):  
Amir Karami ◽  
Michael Zhu ◽  
Bailey Goldschmidt ◽  
Hannah R. Boyajieff ◽  
Mahdi M. Najafabadi
Keyword(s):  
Public Opinion ◽  
Statistical Tests ◽  
Small Scale ◽  
Success Factor ◽  
Great Opportunity ◽  
Public Response ◽  
The Public ◽  
Wide Range ◽  
Significant Difference ◽  
Negative Sentiment

The understanding of the public response to COVID-19 vaccines is the key success factor to control the COVID-19 pandemic. To understand the public response, there is a need to explore public opinion. Traditional surveys are expensive and time-consuming, address limited health topics, and obtain small-scale data. Twitter can provide a great opportunity to understand public opinion regarding COVID-19 vaccines. The current study proposes an approach using computational and human coding methods to collect and analyze a large number of tweets to provide a wider perspective on the COVID-19 vaccine. This study identifies the sentiment of tweets using a machine learning rule-based approach, discovers major topics, explores temporal trend and compares topics of negative and non-negative tweets using statistical tests, and discloses top topics of tweets having negative and non-negative sentiment. Our findings show that the negative sentiment regarding the COVID-19 vaccine had a decreasing trend between November 2020 and February 2021. We found Twitter users have discussed a wide range of topics from vaccination sites to the 2020 U.S. election between November 2020 and February 2021. The findings show that there was a significant difference between tweets having negative and non-negative sentiment regarding the weight of most topics. Our results also indicate that the negative and non-negative tweets had different topic priorities and focuses. This research illustrates that Twitter data can be used to explore public opinion regarding the COVID-19 vaccine.

scholarly journals Changes in public response associated with various COVID-19 restrictions in Ontario, Canada: an observational study using social media time series data (Preprint)

2021 ◽  
Author(s):  
Antony Chum ◽  
Andrew Nielsen ◽  
Zachary Bellows ◽  
Eddie Farrell ◽  
Pierre-Nicolas Durette ◽  
...  
Keyword(s):  
Public Health ◽  
Social Media ◽  
Public Opinion ◽  
News Media ◽  
School Closure ◽  
Social Distancing ◽  
Public Response ◽  
Collective Attention ◽  
Positive Sentiment ◽  
Negative Sentiment

BACKGROUND News media coverage of anti-mask protests, COVID-19 conspiracies, and pandemic politicization has overemphasized extreme views, but does little to represent views of the general public. Investigating the public’s response to various pandemic restrictions can provide a more balanced assessment of current views, allowing policymakers to craft better public health messages in anticipation of poor reactions to controversial restrictions. OBJECTIVE Using data from social media, this study aims to understand the changes in public opinion associated with the implementation of COVID-19 restrictions (e.g. business and school closure, regional lockdown differences, additional public health restrictions such as social distancing and masking). METHODS COVID-related tweets in Ontario (n=1,150,362) were collected based on keywords between March 12 to Oct 31 2020. Sentiment scores were calculated using the VADER algorithm for each tweet to represent its negative to positive emotion. Public health restrictions were identified using government and news media websites, and dynamic regression models with ARIMA errors were used to examine the association between public health restrictions and changes in public opinion over time (i.e. collective attention, aggregate positive sentiment, and level of disagreement) controlling for the effects of confounders (i.e. daily COVID-19 case counts, holidays, COVID-related official updates). RESULTS In addition to expected direct effects (e.g. business closure led to decreased positive sentiment and increased disagreements), the impact of restriction on public opinion is contextually driven. For example, the negative sentiment associated with business closures was reduced with higher COVID-19 case counts. While school closure and other restrictions (e.g. masking, social distancing, and travel restrictions) generated increased collective attention, they did not have an effect on aggregate sentiment or the level of disagreement (i.e. sentiment polarization). Partial (region-targeted) lockdowns were associated with better public response (i.e. higher number of tweets with net positive sentiment and lower levels of disagreement) compared to province-wide lockdowns. CONCLUSIONS Our study demonstrates the feasibility of a rapid and flexible method of evaluating the public response to pandemic restrictions using near real-time social media data. This information can help public health practitioners and policymakers anticipate public response to future pandemic restrictions, and ensure adequate resources are dedicated to addressing increases in negative sentiment and levels of disagreement in the face of scientifically informed, but controversial, restrictions.

scholarly journals ANALISIS SENTIMEN CALON PRESIDEN DAN WAKIL PRESIDEN PERIODE 2019-2024 PASCA DEBAT PILPRES DI TWITTER

2019 ◽  
Vol 2 (1) ◽  
pp. 21
Author(s):  
Rizka Ardiansyah
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Presidential Election ◽  
Social Networking Sites ◽  
Vice President ◽  
Presidential Candidate ◽  
Presidential Candidates ◽  
The Public ◽  
Positive Sentiment ◽  
Negative Sentiment

Social networking sites, such as Twitter and Facebook are one of the important spaces for political engagement. Twitter or Facebook have become common elements in political campaigns and elections, especially for Indonesia’s presidential election 2019. for the period 2019 - 2024 there are two presidential and vice presidential candidates namely Ir. H. Joko Widodo - Prof. Dr. K.H. Ma'ruf Amin and Lieutenant General (Ret.) H. Prabowo Subianto - H. Sandiaga Uno. B.B.A., M.B.A. the two candidates who ran for the election triggered a lot of related public opinion where the most suitable candidate to become the president of the next period. Public opinion is generally one of the determining factors for presidential candidates who will later win the election. Presidential candidate debate is the efforts of the election commission to facilitate the presidential candidates to introduce their work programs to the public while building public opinion that they are the right people to become leaders of the next period. Although of course, this is not the only major factor that shapes public opinion. The purpose of this study is to summarize the opinions of the people voiced through social media related to the election of candidates for the Indonesian President and Vice President for the period 2019-2024 post debate on the presidential election. While the benefit is to help the community so that they can understand in a broader context such as what the public opinion about presidential candidates, especially on social media Twitter. The results of this study were presidential candidate Joko Widodo - Makruf Amin obtained a 25% positive sentiment, 4.5% negative sentiment and 70.5% neutral sentiment. while the Prabowo Subianto - Sandiaga Uno pair received a 5.1% positive sentiment, 2.5% negative sentiment and 92.4% neutral sentiment.

Is Social Media a Digital Pulpit? How Evangelical Leaders Use Twitter to Encourage the Faithful and Publicize Their Work

2019 ◽  
Vol 8 (3) ◽  
pp. 309-339 ◽  
Author(s):  
Ryan P. Burge ◽  
Miles D. Williams
Keyword(s):  
Social Media ◽  
Natural Extension ◽  
Religious Leaders ◽  
Political Language ◽  
Political Issues ◽  
The Public ◽  
Political Commentary ◽  
Religious Communication ◽  
Theories Of Religion ◽  
Social Media Platforms

Social media is altering how some religious leaders communicate with their followers and with the public. This has the potential to challenge theories of religious communication that have been developed through the study of traditional modes such as sermons. This study examines how leaders in U.S. evangelicalism take advantage of the public platform provided by Twitter. Using over 85,000 tweets from 88 prominent evangelical leaders, we find that these leaders often use their social media platforms as a natural extension of their current modes of communication. More specifically, evangelical leaders use their account to encourage and inspire their followers, while also conveying information about upcoming personal projects such as tours and book releases. In a small number of cases, evangelical leaders do make reference to political issues, but those individuals are ones who have already built a brand based on political commentary. Speaking broadly, the usage of political language by evangelical leaders is rare. The paper concludes with a discussion of how this analysis advances theories of religion and communication.KeywordsTwitter – social media – evangelicals – leaders

Profiling the Users of High Influence on Social Media in the Context of Public Events

2021 ◽  
Vol 32 (2) ◽  
pp. 36-49
Author(s):  
Lu An ◽  
Junyang Hu ◽  
Manting Xu ◽  
Gang Li ◽  
Chuanming Yu
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Emergency Management ◽  
Emotional Support ◽  
Opinion Leader ◽  
Negative Effects ◽  
The Public ◽  
Public Events ◽  
Social Media Platforms ◽  
Influential Users

The highly influential users on social media platforms may lead the public opinion about public events and have positive or negative effects on the later evolution of events. Identifying highly influential users on social media is of great significance for the management of public opinion in the context of public events. In this study, the highly influential users of social media are divided into three types (i.e., topic initiator, opinion leader, and opinion reverser). A method of profiling highly influential users is proposed based on topic consistency and emotional support. The event of “Jiankui He Editing the Infants' Genes” was investigated. The three types of users were identified, and their opinion differences and dynamic evolution were revealed. The comprehensive profiles of highly influential users were constructed. The findings can help emergency management departments master the focus of attention and emotional attitudes of the key users and provide the method and data support for opinion management and decision-making of public events.

scholarly journals Strategi Bauran Promosi dalam Sosialisasi Lagu Anak: Studi Kasus Album Penyanyi Cilik Naura

2017 ◽  
Vol 2 (1) ◽  
pp. 91-108
Author(s):  
Dwi Okta Renanda
Keyword(s):  
Social Media ◽  
Qualitative Data ◽  
Direct Marketing ◽  
Sales Promotion ◽  
Promotion Strategy ◽  
Public Response ◽  
The Public ◽  
The People ◽  
Children's Songs ◽  
Use Of Social Media

Perkembangan lagu anak di Indonesia mengalami dinamika yang berbeda dari tahun ke tahun. Era 90-an merupakan puncak dimana lagu anak mendapat perhatian yang lebih dari masyarakat Indonesia. Namun kondisi tersebut berbeda dengan keadaan lagu anak sekarang. Sudah tidak banyak lagi penyanyi-penyanyi cilik yang tampil di televisi dan berkurangnya lagu-lagu yang sesuai untuk anak yang kaya akan pesan pendidikan dan nasionalis. Hal ini dikarenakan sudah tidak banyak label rekaman yang memberikan wadah bagi penyanyi cilik dan adanya anggapan bahwa lagu anak kurang laku. Objek penelitian ini adalah album penyanyi cilik Naura dengan topik strategi promosi dan sosialisasi lagu anak. Penelitian ini bertujuan untuk mengkaji strategi bauran promosi album penyanyi cilik Naura dan mengetahui tanggapan masyarakat terhadap album penyanyi cilik Naura. Pendekatan yang dilakukan dalam penelitian ini adalah metode kualitatif dengan data tambahan sebagai pelengkap dari data kuantitatif berupa pemaparan presentase. Data kualitatif didapat dari 3 orang narasumber dan data kualitatif diperoleh dari 34 responden yang merupakan followers Instagram Naura. Hasil yang diperoleh, manajemen Naura menggunakan semua alat bauran promosi, meliputi periklanan, promosi penjualan, publisitas, penjualan perseorangan dan pemasaran langsung. Sedangkan alat promosi utama yang digunakan adalah pemasaran langsung yang difokuskan pada penggunaan media sosial. Hal ini disebabkan karena mayoritas peggemar Naura adalah anak-anak dan remaja yang memiliki akun media sosial. The development of children's songs in Indonesia experienced different dynamics from year to year. The 90's is the peak where the children's song gets more attention from the people of Indonesia. But the condition is different from the state of the child's song now. There are not many singers-singers who appear on television and reduced the appropriate songs for children who are rich in educational and nationalist messages. This is because there are not many record labels that provide a container for the little singers and the assumption that the child's song is less salable.The object of this research is Naura little singer album with the topic of promotion strategy and socialization of children song. This study aims to examine the promotion mix strategy of Naura's little singer album and to know the public response to Naura's little singer album. The approach taken in this research is qualitative method with additional data as complement of quantitative data in the form of presentation of percentage. Qualitative data were obtained from 3 resource persons and qualitative data were obtained from 34 respondents who were followers Instagram Naura. The results obtained, Naura's management uses all promotional mix tools, including advertising, sales promotion, publicity, individual sales and direct marketing. While the main promotional tool used is direct marketing that is focused on the use of social media. This is because the majority of Naura's fans are children and adolescents who have social media accounts.

scholarly journals Analysis of Social Media Users Sentiments against Omnibus Law Based on Hashtags on Twitter

SISTEMASI ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 197
Author(s):  
Okta Fanny ◽  
Heri Suroyo
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Main Topic ◽  
Accuracy Score ◽  
Test Results ◽  
Bayes Classifier ◽  
The Public ◽  
Average Accuracy ◽  
Positive Sentiment ◽  
Negative Sentiment

From the research that has been done, it can be concluded that Sentiment Analysis can be used to know the sentiment of the public, especially Twitter netizens against omnibus law. After the sentiment analysis, it looks neutral artmen with the largest percentage of 55%, then positive sentiment by 35% and negative sentiment by 10%. The results of the analysis showed that the Naïve Bayes Classifier method provides classification test results with accuracy in Hashtag Pro with an average accuracy score of 92.1%, precision values with an average of 94.8% and recall values with an average of 90.7%. While Hashtag Counter For data classification, with an average accuracy value of 98.3%, precision value with an average of 97.6% and recall value with an average of 98.7%. The result of text cloud analysis conducted on a combination of hashtags both Hashtag pros and Hashtags cons, the dominant word appears is Omnibus Law which means that all hashtags in scrap is really discussing the main topic that is about Omnibus Law

Conclusion

2018 ◽  
pp. 235-242
Author(s):  
Steven McKevitt
Keyword(s):  
Social Media ◽  
World Wide Web ◽  
World Wide ◽  
New Labour ◽  
General Election ◽  
Public Response ◽  
The Public ◽  
The World ◽  
Social Media Platforms

The Conclusion draws together the main findings of the study. Britain in 1997 was a far more emotional and expressive society. This is highlighted by two events: the public response to the death of Diana, Princess of Wales, and the success of New Labour in the general election. The extent to which persuasion industries were responsible for bringing these changes about is discussed. There is a discussion of some areas for further study: the subsequent impact of the World Wide Web and social media platforms; persuasion aimed at children/juvenile consumption, and the development of single British brand throughout the period—for example, Virgin.

Multidimensional influencing factors of public opinion information dissemination in social media: Evidence from Weibo dataset

2019 ◽  
Vol 33 (31) ◽  
pp. 1950375 ◽  
Author(s):  
Guanghui Wang ◽  
Yufei Wang ◽  
Kaidi Liu ◽  
Jimei Li
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Information Content ◽  
Influencing Factors ◽  
Network Structure ◽  
Information Dissemination ◽  
Influential Factors ◽  
Channel Network ◽  
The Public ◽  
Information Characteristics

The factors influencing the dissemination of public opinion on social media, the main carrier of public opinion, are diverse, complex and changeable. Existing studies of influential factors of public opinion dissemination focus on the information itself and information sources in the dissemination process, failing to consider the comprehensive influence of multidimensional factors, such as information content, sources and channels. This study takes the identification of multidimensional influential factors of social media information dissemination as the research object and comprehensively sorts out the influencing factors of public opinion. To improve the scientific basis and accuracy of the research, multidimensional factors, including information characteristics, dissemination network structure and user-level attributes, are selected to analyze the effect of influential factors in different dimensions on the dissemination of social media public opinion information using econometric models. Three main conclusions of this paper are as follows: (1) The traditional information characteristics (information content) and information source attributes (user-level factor) are not the only key factors affecting information dissemination, while the information channel (network structure) is worth more consideration. (2) Netizens tend to pay more attention to the psychological and emotional attributes of information when forwarding public opinions. The communication mode in which offline social elites enlighten the public no longer exists; whether a user is a network celebrity or lives in the central area no longer significantly affects public opinion dissemination. (3) The higher the total amount of information users release, the more the information would interfere with the public opinion. This is mainly because users with a higher level of activity may release more invalid information about advertising that has nothing to do with public opinion events.

scholarly journals Can online exemplars trigger a spiral of silence? Examining the effects of exemplar opinions on perceptions of public opinion and speaking out

2016 ◽  
Vol 19 (7) ◽  
pp. 1034-1051 ◽  
Author(s):  
Thomas Zerback ◽  
Nayla Fawzi
Keyword(s):  
Social Media ◽  
Public Opinion ◽  
Public Sphere ◽  
Public Support ◽  
Spiral Of Silence ◽  
The Public ◽  
Speaking Out ◽  
Modern Media ◽  
Media Environments ◽  
The Public Sphere

In modern media environments, social media have fundamentally altered the way how individual opinions find their way into the public sphere. We link spiral of silence theory to exemplification research and investigate the effects of online opinions on peoples’ perceptions of public opinion and willingness to speak out. In an experiment, we can show that a relatively low number of online exemplars considerably influence perceived public support for the eviction of violent immigrants. Moreover, supporters of eviction were less willing to speak out on the issue online and offline when confronted with exemplars contradicting their opinion.

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